
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "126"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 95 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 91 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	6.234760	8.387428	71.530476	74.492533	20.559312	24.895576	25.106899	27.963090	0.0412	0.0446	0.0004	1.302549	1.308796
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.729008	18.269854	73.551256	78.446163	29.945231	36.674085	13.440693	11.657652	0.0376	0.0396	0.0002	1.311480	1.370002
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.382140	1.280941	2.259105	2.901983	0.058081	1.171609	-1.511481	0.479644	0.0324	0.0346	0.0033	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.385841	21.194365	85.899990	90.978868	26.554172	32.814123	1.269187	2.052049	0.0393	0.0392	-0.0005	1.374659	1.398491
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.866962	25.678070	79.850550	84.737321	27.830630	34.110506	2.754998	4.000188	0.0431	0.0457	0.0001	1.300104	1.300875
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.998304	24.097298	74.332812	78.546305	16.480118	21.365177	18.068213	16.548470	0.0434	0.0470	0.0005	1.282860	1.286803
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.720084	17.056445	90.326267	95.512400	21.447287	24.689776	14.471522	13.230502	0.0400	0.0431	0.0004	1.475946	1.837986
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	20.723347	22.513001	120.606916	128.394607	5.686149	7.473711	8.400522	10.535587	nan	nan	nan	0.888428	0.886327
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.039398	20.340997	28.663376	29.846800	9.743232	11.612627	5.140885	6.392591	0.0407	0.0422	-0.0003	1.443741	1.605133
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.670794	24.489760	7.212392	8.331196	9.355346	10.264759	0.861748	3.293044	0.0292	0.0301	0.0005	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.022634	31.647996	97.317914	103.108984	26.128529	35.348308	40.179272	42.438405	0.0387	0.0408	0.0001	0.851635	0.884921
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.278771	21.515471	30.393329	32.169365	19.217576	22.887769	0.033265	0.398512	0.0410	0.0428	-0.0005	0.000000	0.000000
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.935037	18.569794	27.300512	29.204365	23.076113	27.606210	0.045598	0.452521	0.0376	0.0388	-0.0005	1.260123	1.261551
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.392002	25.600972	31.697707	32.918374	18.140308	22.224157	0.260237	0.513176	0.0407	0.0421	-0.0006	1.265483	1.262897
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.788992	19.373165	31.773321	33.737122	20.101751	23.374536	-0.201098	0.336209	0.0424	0.0437	-0.0004	0.000000	0.000000
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.430581	19.032083	35.995559	38.375711	22.616951	26.736639	1.087351	1.783916	0.0381	0.0388	-0.0009	1.294015	1.297142
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.790549	1.304089	0.316371	0.309736	-0.607908	0.518158	0.552012	1.621161	0.0357	0.0303	0.0031	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.774547	24.467113	29.424733	30.804039	20.439282	24.474457	0.120445	0.486815	0.0382	0.0394	-0.0008	1.355479	1.519323
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.617384	18.819904	23.420324	24.755518	18.595840	21.510084	0.790997	1.216364	0.0395	0.0406	-0.0007	1.481874	1.689595
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.008743	19.078908	23.193418	24.549734	15.204518	16.687986	7.251799	6.346910	0.0418	0.0445	-0.0003	1.316489	1.320154
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.858738	18.007335	22.241995	23.501974	20.335866	23.984354	1.127304	0.786453	0.0398	0.0420	-0.0003	1.413755	1.621694
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.462760	18.592350	38.278845	40.407823	23.864868	27.462680	0.733513	1.616303	0.0397	0.0417	-0.0004	1.252523	1.255565
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.356497	1.079226	0.141198	0.262665	-0.495472	0.850277	0.587607	1.502229	0.0324	0.0304	0.0020	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.052508	22.016556	29.548328	30.798562	10.662238	10.806593	8.331100	9.101111	0.0465	0.0516	0.0015	1.227723	1.233060
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.113597	17.984916	29.189890	30.636383	18.508204	21.288723	-0.352744	-0.074339	0.0325	0.0338	-0.0002	1.226034	1.225216
2459565	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	4287.746435	4287.746435	4026.123085	4026.123085	-0.635090	-0.635090	-1.849535	-1.849535	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.729954	16.762428	31.024162	32.664876	2.249854	2.404819	0.512504	0.943165	0.0379	0.0400	-0.0001	1.376496	1.608046
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.118376	19.418249	59.289832	62.307320	19.139999	22.009559	1.367017	2.108311	0.0388	0.0421	0.0003	1.206840	1.210240
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.284478	11.888704	15.231417	16.049905	2.311674	2.642210	0.536151	0.793567	0.0387	0.0404	-0.0002	1.337428	1.481379
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.074044	12.686681	14.495565	15.265969	2.661898	2.864593	0.857977	1.177763	0.0413	0.0418	-0.0007	1.295679	1.424984
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.075283	11.608169	14.902098	15.479611	2.296322	2.849737	0.525005	0.641786	0.0387	0.0400	-0.0006	1.289223	1.408726
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.926538	14.637957	16.283721	17.001853	2.570841	3.124171	0.727867	0.966791	0.0429	0.0447	-0.0002	1.311728	1.424767
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.869555	19.351196	30.444661	32.486680	20.950398	22.810357	0.976930	1.325908	0.0392	0.0418	-0.0000	1.275125	1.278637
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0299	0.0285	0.0018	nan	nan
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.213637	19.554818	32.901631	35.197379	18.941296	20.649130	2.218475	3.458333	0.0413	0.0434	-0.0000	1.366479	1.518325
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0380	0.0394	-0.0004	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0417	0.0408	0.0001	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.269504	23.279122	44.441487	46.362764	28.611794	31.711023	2.916225	3.150889	0.0385	0.0404	-0.0003	1.263103	1.261612
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.513743	10.936872	18.017057	18.868487	3.163617	4.185082	0.889428	1.049825	0.0367	0.0364	-0.0005	1.230572	1.291598
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0340	0.0325	0.0010	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.370226	17.038854	33.391521	35.023972	20.287294	22.454951	0.830873	1.307995	0.0355	0.0375	-0.0006	1.213522	1.226300
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.918297	25.330546	68.074791	71.190819	1.080651	1.930604	0.899774	1.536770	0.0510	0.0704	0.0123	1.331033	1.521292
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.885362	11.609129	35.295398	35.081389	162.179464	203.053321	8.043134	13.813126	0.0486	0.0645	0.0100	1.412517	1.642206
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.733309	17.173974	15.151714	16.206413	4.198633	5.543033	0.562144	0.923652	0.0429	0.0532	0.0071	1.258786	1.391082
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	28.448787	28.031095	57.767369	60.264394	29.248276	31.431003	1.867179	2.245710	0.0419	0.0512	0.0060	1.529522	1.879839
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.269273	13.864331	14.112371	14.882770	2.657197	6.061720	0.032053	0.433409	0.0498	0.0590	0.0077	1.299094	1.455172
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.800361	20.958853	31.097074	32.881380	17.562876	20.498525	0.832699	1.616573	0.0406	0.0486	0.0053	1.215316	1.217057
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.828173	24.194548	41.955654	44.635612	21.955359	25.456889	0.434046	0.956675	0.0389	0.0482	0.0063	1.258072	1.265927
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.465328	12.358405	13.273923	13.932905	3.354808	4.288385	0.441770	0.482109	0.0494	0.0560	0.0064	1.289894	1.482044
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	27.735346	29.235444	47.773981	50.232113	40.902383	35.523214	-0.105180	0.560034	0.0423	0.0575	0.0122	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	1776.924304	14288.479110	inf	inf	59772.802816	-499544.511533	37755.748035	-394031.940544	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.563829	25.574826	45.059807	48.152984	10.968911	23.627563	0.951251	1.750079	0.0453	0.0558	0.0071	1.356063	1.491112
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.613017	1.448854	0.142204	0.472378	-0.299761	0.971245	0.850072	2.078120	0.0381	0.0380	0.0028	nan	nan
2459508	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.008897	32.202618	44.870665	47.564217	18.477596	15.997587	12.845353	14.849314	0.0451	0.0626	0.0122	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.175709	31.924610	41.275760	45.400623	6.759568	9.589267	0.733171	2.148689	0.0488	0.0571	0.0060	1.710181	2.516077
2459503	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.634770	31.151658	74.441540	77.886486	34.183827	33.802372	2.050977	3.048979	0.0475	0.0697	0.0148	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.428095	24.057247	48.667495	52.318895	22.473382	27.587831	1.311194	1.090778	0.1000	0.0560	0.0357	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.747763	27.851949	59.310570	64.351003	21.934014	27.454874	0.288579	1.140385	0.1177	0.0573	0.0406	0.000000	0.000000
2459499	RF_maintenance	100.00%	35.48%	100.00%	0.00%	100.00%	0.00%	21.312887	30.658179	76.076381	82.953162	21.283630	27.773275	3.019182	11.833226	0.3896	0.0629	0.1434	0.000000	0.000000
2459498	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.115840	26.182503	67.869168	73.948924	18.238453	24.602272	2.993992	4.715123	0.1144	0.0636	0.0380	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.917946	31.171063	76.271150	83.451869	22.613499	31.991029	1.787777	3.677915	0.0820	0.0626	0.0137	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.821326	31.745529	69.598606	75.819391	20.167942	28.802742	0.976434	2.295222	0.0813	0.0617	0.0135	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.958728	25.720838	64.944575	70.605193	17.151600	25.349875	1.463386	3.121101	0.0808	0.0602	0.0141	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.438061	26.830856	69.240633	75.338367	19.825287	28.361816	4.323391	7.013853	0.0784	0.0552	0.0159	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.393474	4.324712	48.615710	0.321259	21.959097	0.075998	4.300343	2.792716	0.0707	0.1077	0.0453	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	27.680816	16.573878	5.632164	13.726379	40.748318	14.451268	148.888819	82.133744	0.0752	0.1007	0.0563	0.000000	0.000000
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.707306	5.325575	55.414820	-0.134181	20.821023	5.571782	3.892984	188.657211	0.0742	0.1207	0.0468	0.000000	0.000000
2459489	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	27.300878	18.919552	50.121738	16.663873	20.257284	19.381345	3.352639	31.831506	0.0852	0.1348	0.0242	0.000000	0.000000
2459488	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.856932	4.031900	41.946325	0.172482	22.666703	18.251765	5.725363	21.680425	0.0772	0.1118	0.0465	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 126 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 126, Node 9:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶